Acquiring Guatemalan Phone‑Number Data

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### 4.1 First‑Party Funnels

* **WhatsApp Chatbot Opt‑ins** – 84 percent of Guatemalan smartphones run WhatsApp daily. A simple “Envía ALTA para recibir promociones” call‑to‑action in Facebook ads nets 12–18 percent opt‑in rates.
* **USSD Star Codes** – Rural feature‑phone users dial *123#*; completion costs < GTQ 0.02.
* **Mobile Money KYC** – *Tigo Money* API exposes MSISDN & alias after user OAuth consent.


Due‑diligence: demand signed consent logs, sample georgia phone number data HLR results, and a *Constancia de Cumplimiento Tributario* (tax clearance). Reject providers who can’t map each MSISDN to a collection campaign ID.

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## 5  |  Data Cleansing & Validation Pipeline

1. **Normalization** – Remove spaces/dashes; ensure eight digits; prepend +502. Discard strings containing letters or NSN length ≠ 8.
2. **Line‑Type Detection** – Use SIT public allocation CSV; tag landline (3/4) vs mobile (5/6/7) vs special (2).
3. **HLR & MNP Lookup** – Vendors (Infobip, Sinch, Routee) charge **\$0.0015–0.002**. Check status (active, roaming, suspended), current operator, IMSI age.
4. **Age‑Flag Churn Risk** – If IMSI age < 30 days and user not transacting, mark high‑churn to throttle spend.
5. **Consent Cross‑Match** – Hash MSISDN SHA‑256 & merge to CRM logs; flag missing or > 24 month dormancy for re‑permissioning.
6. **Suppression & Robinson** – Store opt‑outs with timestamp; carriers share “Lista No Molestar” weekly—merge to your suppression file.
After this pipeline, high‑quality lists achieve **≤ 1.4 percent** non‑delivery and ≤ 0.05 percent spam‑complaint rates.